Results 131 to 140 of about 7,305,411 (311)
International Journal of Sustainable EnergyIt is shown here that if the PDF (Probability Distribution Function) of wind speed is a Rayleigh distribution with parameter [Formula: see text], then the PDF of wind power is a Weibull distribution with parameters [Formula: see text], where [Formula ...
Emin Gardashov, Rauf Gardashov
doaj +1 more source
A Peridynamic Framework for Modeling Progressive Failure in Porous Sandstone Indentation
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT A state‐based peridynamic model is proposed to simulate the failure mechanisms in porous rocks, using Bentheim sandstone as a specific example. Experimental observations reveal a transition from brittle to ductile failure under increasing triaxial compression. This behavior is attributed to pore compaction. The peridynamic model is enhanced to
Sahir N. Butt +2 more
wiley +1 more source
Weibull distribution based on maximum likelihood with interval inspection data [PDF]
The two Weibull parameters based upon the method of maximum likelihood are determined. The test data used were failures observed at inspection intervals.
Rheinfurth, M. H.
core +1 more source
On Order Restricted Inference in Multi‐Step Stage Life Testing for a General Family of Distributions
Naval Research Logistics (NRL), EarlyView.ABSTRACT Recently, k$$ k $$‐step stage life testing (SLT) has been proposed by Laumen and Cramer (2021) as a natural extension of progressive censoring with fixed censoring times (PC‐FCT) as well as of simple step‐stress accelerated life testing (SSALT).
Erhard Cramer +2 more
wiley +1 more source
An Exact Method for Reliable Shortest Path Problems With Correlation
Networks, EarlyView.ABSTRACT Shortest path problems often arise in contexts where travel times are uncertain. In these settings, reliable paths are often valued more than paths with lower expected travel times. This has led to several variants of reliable shortest path problems (RSPP) that handle travel time reliability differently. We propose an algorithmic framework for
Esteban Leiva +3 more
wiley +1 more source
Optimal designs for dose finding experiments in toxicity studies [PDF]
We construct optimal designs for estimating fetal malformation rate, prenatal death rate and an overall toxicity index in a toxicology study under a broad range of model assumptions.
Dette, Holger +2 more
core
Weibull Distribution for Estimating the Parameters
, 2011 Today, most electrical energy is generated by burning huge fossil fuels and special weather conditions such as acid rain and snow, climate change, urban smog, regional haze, several tornados, etc., have happened around the whole world. It is now clear that the installation of a number of wind turbine generators can effectively reduce environmental ...
openaire +3 more sources
CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 523-539, March 2025.Abstract Ritonavir (RTV) is a potent CYP3A inhibitor that is widely used as a pharmacokinetic (PK) enhancer to increase exposure to select protease inhibitors. However, as a strong and complex perpetrator of CYP3A interactions, RTV can also enhance the exposure of other co‐administered CYP3A substrates, potentially causing toxicity.
Lien Thi Ngo +5 more
wiley +1 more source
Weibull Distribution Parameter Estimation Using Spreadsheets
, 2023 A spreadsheet is developed for modeling wind distribution through the Weibull distribution. Two parametes of the Weibull distribution are sufficient for the modeling. The Excel macro has been used to determine these parameters. The parameters are determined by six methods: graphical method (GM), maximum likelihood method (MLM), method of moments (MM ...
Zuhoor Elahi, Wafa Gull, Zaheer Uddin
openaire +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Quarterly Journal of the Royal Meteorological Society, EarlyView.Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source